Self-adaptive brightness adjusting method and system for mobile phone backlight plate

Abstract

The invention relates to the technical field of mobile equipment display, in particular to a self-adaptive brightness adjusting method and system for a mobile phone backlight plate. The method comprises the following steps: acquiring an environment light and shadow dynamic information set and user behavior intention information, and analyzing cross-modal fusion deduction information of light and shadow artistic features and user task intention based on the environment light and shadow dynamic information set in combination with the user behavior intention information to obtain a light and shadow-user situation information set; based on the light and shadow-user situation information set, analyzing a dynamic tension relationship among an art immersion demand, visual task efficiency and visual health, and balancing an active light and shadow fusion strategy, user instantaneous discomfort and long-term eye movement load to obtain a situation backlight fusion strategy set; and based on the contextualized backlight fusion strategy set, flexible intervention matched with the artistic atmosphere and the instantaneous demand of the user is executed on the mobile phone backlight. The smooth backlight change is ensured, the matching with the artistic atmosphere and the instantaneous demand of the user is realized, and the comfort and satisfaction of the user are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of mobile device display, in particular to an adaptive brightness adjustment method and system for a mobile phone backlight plate. BACKGROUND

[0002] In the field of mobile device display, the automatic brightness adjustment function of the mobile phone backlight plate is a key link to improve user experience. Currently, the mainstream adjustment scheme mainly relies on the ambient light sensor to linearly or nonlinearly adjust the screen brightness by sensing the intensity (illuminance) of the ambient light. This method based on a single physical parameter is applicable in static or slowly changing light environments, but its inherent limitations are exposed in dynamic light environments (i.e., "artistic light scene"), such as concerts, artistic light shows, and immersive exhibitions.

[0003] The prior art cannot intelligently identify and balance the inherent contradiction between "artistic immersion" and "screen readability". Specifically, in a concert, when the stage lights are dimmed to create an atmosphere, the mobile phone backlight may also become too dark, making it difficult for the user to complete instant tasks such as scanning codes or replying to messages. Conversely, when a spotlight is turned on, the mobile phone backlight may suddenly become the brightest, and its dazzling light not only instantly breaks the artistic immersion of the scene, but also may cause the user's momentary visual discomfort. This simple response of being either black or white cannot adapt to the complex and changing core needs of users in the current dynamic light environment. SUMMARY

[0004] The present application provides an adaptive brightness adjustment method and system for a mobile phone backlight plate to solve the above problems.

[0005] In a first aspect, the present application provides an adaptive brightness adjustment method for a mobile phone backlight plate, the method comprising: obtaining an ambient light dynamic information set and user behavior intention information, analyzing cross-modal fusion and deduction information of light and shadow artistic features and user task intentions based on the ambient light dynamic information set and combining the user behavior intention information to obtain a light-user context information set; analyzing the dynamic tension relationship between artistic immersion needs, visual task effectiveness, and visual health based on the light-user context information set, and balancing the balance between active light and shadow integration strategies and user momentary discomfort and long-term eye movement load to obtain a contextual backlight integration strategy set; and based on the contextual backlight integration strategy set, performing flexible intervention on the mobile phone backlight that matches the artistic atmosphere and user momentary needs.

[0006] By the technical solution, the ambient light and shadow dynamic information set and the user behavior intention information are acquired, and the light and shadow-user context information set is analyzed, so that the backlight adjustment can fully consider the ambient light and shadow characteristics and the user intention, and the individualized adaptation capability is improved; based on the light and shadow-user context information set, the dynamic tension relationship among artistic immersion demand, visual task efficiency and visual health is analyzed, the contextualized backlight fusion strategy set is obtained, and the backlight adjustment is realized to enhance the user experience while ensuring the visual health; the flexible intervention is performed according to the contextualized backlight fusion strategy set, the backlight change is ensured to be smooth and matched with the artistic atmosphere and the user instantaneous demand, the user comfort and satisfaction are improved, and the intelligent development of the mobile phone backlight adaptive adjustment technology is promoted.

[0007] Optionally, the ambient light and shadow dynamic information set includes ambient light intensity information and ambient light color temperature information; the user behavior intention information includes user gesture operation information and user application context information; based on the ambient light intensity information, in combination with the ambient light color temperature information, the dynamic light and shadow regulation demand required to maintain the on-site atmosphere immersion is analyzed, and an ambient light and shadow artistic feature set is obtained; based on the gesture operation information, in combination with the user application context information, the real-time interactive preference and performance rhythm demand of the user are analyzed, and a user task intention feature set is obtained; based on the ambient light and shadow artistic feature set, in combination with the user task intention feature set, the current use of the mobile phone dominant context of the user is determined, and the light and shadow-user context information set is obtained.

[0008] Optionally, based on the ambient light intensity information, the mutation interval and the gradual change interval of the ambient light intensity are analyzed, and light and shadow atmosphere continuity information is obtained; based on the ambient light color temperature information, the coordination relationship between the ambient light color temperature and the on-site artistic atmosphere is analyzed, and ambient color temperature atmosphere matching information is obtained; based on the light and shadow atmosphere continuity information, in combination with the ambient color temperature atmosphere matching information, a two-way feedback mechanism is used to evaluate the matching degree of the ambient light and shadow and the artistic immersion, the forward prediction of the ambient light and shadow evolution trend is performed, the backward correction of the artistic atmosphere maintenance demand is performed, the dynamic light and shadow regulation demand is determined, and the ambient light and shadow artistic feature set is obtained.

[0009] Optionally, based on the user gesture operation information, the user operation frequency and the smoothness of the operation trajectory are analyzed, the smoothness is positively correlated with the interactive urgency of the user using the mobile phone, and user interactive urgency information is obtained; based on the user application context information, the application type and the content dynamic change rhythm are analyzed, and user task rhythm demand information is constructed; based on the user interactive urgency information, in combination with the user task rhythm demand information, a multi-dimensional intention fusion mechanism is used to infer the current dominant intention of the user, the coordination of the interactive preference and the task rhythm is evaluated, the real-time interactive preference and the performance rhythm demand are determined, and a user task intention feature set is constructed.

[0010] Optionally, based on the light and shadow atmosphere continuity information, combined with the environment color temperature atmosphere matching information, the influence degree of the environment light and shadow on the visual perception of the user watching the mobile phone is analyzed to obtain environment light and shadow influence information; based on the user interaction urgency information, combined with the user task rhythm demand information, the demand intensity of the user task on the brightness of the mobile phone backlight is analyzed to obtain backlight brightness demand intensity information; based on the environment light and shadow influence information, combined with the backlight brightness demand intensity information, a multi-dimensional situation discrimination mechanism is used for fusion deduction, and through evaluating the competition and cooperation relationship between the environment light and shadow dominance and the user task dominance, the light and shadow-user situation information set is obtained.

[0011] Optionally, based on the environment light and shadow influence information, the influence of the visual atmosphere demand in the activity on the user watching the mobile phone is analyzed to obtain immersion demand intensity information; based on the backlight brightness demand intensity information, the degree of occupation of clear reading demand on the user's attention is analyzed to obtain mobile phone clear use demand information; based on the environment light and shadow influence information, combined with the backlight brightness demand intensity information, the potential load of the superposition of the two on visual health is analyzed to obtain visual health load warning information; based on the immersion demand intensity information, the mobile phone clear use demand information, combined with the visual health load warning information, a dynamic tension analysis mechanism is used for triple demand game deduction, through real-time evaluation of the competition relationship between activity immersion demand and mobile phone clear use, and combined with the visual health load warning information, a dynamic balance point is calibrated to obtain the dynamic tension relationship.

[0012] Optionally, the triple demand includes artistic immersion demand, visual task efficiency and visual health; when the immersion demand intensity information and the mobile phone clear use demand information conflict, the user's watching mobile phone demand is prioritized, and at the same time, the basic artistic immersion is maintained through the mutation of the mobile phone backlight panel; when the visual health load warning information reaches a threshold, the intensity of the activity immersion demand and the mobile phone clear use is simultaneously weakened, and the brightness of the mobile phone backlight panel is adaptively adjusted with visual health as the core.

[0013] Optionally, based on the visual health load warning information, the instantaneous discomfort intensity level caused by the dynamic adjustment of the backlight panel when the user uses the mobile phone is analyzed to obtain instantaneous discomfort evaluation information; based on the immersion demand intensity information, combined with the mobile phone clear use demand information, the cumulative information of the eye movement load of the backlight panel when the mobile phone is used for a long time is analyzed to obtain long-term eye movement load information; based on the instantaneous discomfort evaluation information, combined with the long-term eye movement load information, a multi-objective optimization mechanism is used to weigh the applicability of the active light and shadow fusion strategy, through evaluating the synergistic effect of instantaneous discomfort relief and long-term eye movement load reduction, the balanced backlight regulation parameter is determined, and the situational backlight fusion strategy set is obtained.

[0014] Optionally, based on the instantaneous discomfort evaluation information, in combination with the long-term eye movement load information, the effect of backlight adjustment on user instantaneous discomfort relief and long-term eye movement load reduction is analyzed to obtain a backlight health regulation parameter; based on the backlight health regulation parameter, in combination with the ambient light and shadow artistic feature set and the user task intention feature set, the matching degree of backlight adjustment with artistic atmosphere and user instantaneous demand is analyzed to obtain a backlight artistic demand matching parameter; based on the backlight health regulation parameter, in combination with the backlight artistic demand matching parameter, a multi-objective optimization mechanism is used to determine a backlight brightness adjustment value, and through the comprehensive balance of visual health, artistic atmosphere and user instantaneous demand, progressive backlight regulation is performed.

[0015] In a second aspect, the present application provides an adaptive brightness adjustment system for a mobile phone backlight plate, the system comprising: A light and shadow context perception module is configured to obtain an ambient light and shadow dynamic information set and user behavior intention information, analyze light and shadow artistic features and user task intention cross-modal fusion deduction information based on the ambient light and shadow dynamic information set in combination with the user behavior intention information, and obtain a light and shadow-user context information set; a fusion strategy module is configured to analyze the dynamic tension relationship between artistic immersion demand, visual task efficiency and visual health based on the light and shadow-user context information set, and balance the balance of active light and shadow fusion strategy and user instantaneous discomfort and long-term eye movement load to obtain a contextual backlight fusion strategy set; and a backlight execution module is configured to execute flexible intervention matching artistic atmosphere and user instantaneous demand on the mobile phone backlight based on the contextual backlight fusion strategy set. BRIEF DESCRIPTION OF DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description are some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor.

[0017] Figure 1 An application scenario schematic diagram is provided for an embodiment of the present application. Figure 2 A flowchart of an adaptive brightness adjustment method for a mobile phone backlight plate is provided for an embodiment of the present application. Figure 3 A structural schematic diagram of an adaptive brightness adjustment system for a mobile phone backlight plate is provided for an embodiment of the present application. DETAILED DESCRIPTION

[0018] In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are some but not all of the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative work fall within the protection scope of the present application.

[0019] In addition, the term "and / or" in this paper is only to describe the association relationship of the associated objects, which means that there can be three relationships, for example, A and / or B, which can represent the three cases of A alone, A and B together, and B alone. In addition, the character " / " in this paper generally represents an "or" relationship between the associated objects unless otherwise specified.

[0020] The embodiments of the present application will be described in further detail below with reference to the drawings of the specification.

[0021] The current technology cannot intelligently balance the contradiction between "artistic immersion" and "screen readability". For example, in a concert, when the stage lights are dimmed, the mobile phone screen may be too dark to affect the operation of scanning the code, replying to the message, etc.; and when the spotlight is on, the screen may automatically adjust to the brightest, not only destroying the atmosphere, but also causing visual discomfort. This simple brightness adjustment mechanism has been difficult to meet the diversified use needs of users in a dynamic light environment.

[0022] Based on this, the present application provides a self-adaptive brightness adjustment method and system for a mobile phone backlight plate, which collects environmental light and user behavior data, fuses to generate situational information, thereby improving the personalized adaptation ability of backlight adjustment. On this basis, the dynamic balance relationship between artistic immersion, task efficiency and visual health is analyzed, and a backlight adjustment strategy that takes into account experience and health is formed. Through smooth and natural backlight intervention, the adjustment process not only conforms to the scene atmosphere, but also responds to the user's immediate needs, improving comfort and satisfaction while promoting the development of mobile phone backlight adaptive technology towards intelligence.

[0023] Figure 1 An application scenario provided by the present application is shown in the figure. In modern mobile phone usage scenarios, such as concerts, dynamic art exhibitions and other scenarios that highly depend on atmosphere immersion, the method provided by the present application aims to dynamically balance artistic experience and visual health based on user context, and achieve more comfortable and intelligent personalized display through soft backlight adjustment.

[0024] Specifically, the method provided by the application is applied to any server, the server is a virtual server built in a mobile phone, the server interacts with a light perception unit and a user operation behavior monitoring unit, obtains environmental light and shadow dynamic information set provided by the light perception unit and user behavior intention information provided by the user operation behavior monitoring unit, realizes backlight adjustment to enhance user experience while ensuring visual health, executes a gradual backlight adjustment instruction by a mobile phone backlight panel, improves user comfort and satisfaction, and promotes the intelligent development of mobile phone backlight adaptive adjustment technology. The specific implementation mode can refer to the following embodiments.

[0025] Figure 2 A flowchart of a self-adaptive brightness adjustment method for a mobile phone backlight panel is provided for an embodiment of the application. The method of the embodiment can be applied to the server in the above scenarios. As shown in the figure, the method comprises: Figure 2 S201, obtaining environmental light and shadow dynamic information set and user behavior intention information, analyzing cross-modal fusion and deduction information of light and shadow artistic features and user task intention based on the environmental light and shadow dynamic information set and in combination with the user behavior intention information, and obtaining light-user context information set.

[0026] The environmental light and shadow dynamic information set can be a parameter set that can reflect the light state and change characteristics of the environment where the mobile phone is located, and the source is a light perception unit built in the mobile phone. The user behavior intention information can be an information set that can represent the operation behavior, task target and potential demand of the user when using the mobile phone, and the source is a user operation behavior monitoring unit of the mobile phone. The light-user context information set can be a comprehensive information set that can accurately describe the current mobile phone use scenario after the fusion of the environmental light and shadow dynamic characteristics and the user behavior intention.

[0027] Specifically, with the popularity of smart phones, the adaptive adjustment of the backlight brightness is crucial for user experience and visual health when the user uses the mobile phone in different environments (such as concerts and film exhibitions). The existing backlight adjustment method only makes simple adjustment based on the environmental light intensity, ignores the artistic features of the environmental light and shadow and the specific task intention of the user, and thus the backlight adjustment may not adapt to the immersion needs or visual task efficiency of the user, and may even cause visual fatigue.

[0028] S202, based on the light-user context information set, analyzing the dynamic tension relationship among artistic immersion needs, visual task efficiency and visual health, and balancing the balance between the active light and shadow fusion strategy and the user's instantaneous discomfort and long-term eye movement load, and obtaining a contextualized backlight fusion strategy set.

[0029] ​The artistic immersion demand can be a user's immersion demand for visual artistic effects when using a mobile phone. The visual task efficiency can be the efficiency and quality of a user completing a specific visual task. The visual health can be the impact of long-term use of a mobile phone on a user's visual health. The contextual backlight fusion strategy set can be a set of backlight adjustment strategies for balancing artistic immersion demand, visual task efficiency, and visual health.

[0030] Specifically, in mobile phone backlight adjustment, there is a dynamic tension relationship between artistic immersion demand, visual task efficiency, and visual health, for example, high brightness and high color saturation can enhance artistic immersion, but can increase visual fatigue; low brightness can reduce eye movement load, but can reduce visual task efficiency, and existing methods cannot effectively balance these factors, resulting in user transient discomfort (such as glare caused by sudden changes in brightness) or long-term eye movement load (such as visual acid after continuous use for 1 hour).

[0031] S203, based on the contextual backlight fusion strategy set, performing flexible intervention on the mobile phone backlight that matches the artistic atmosphere and the user's transient demand.

[0032] The flexible intervention can be a smooth and gradual backlight adjustment method to avoid sudden brightness changes that cause user discomfort. The artistic atmosphere can be the artistic effect created by the ambient light and shadow. The user's transient demand can be the backlight parameters required by the user's current task.

[0033] Specifically, the final execution of backlight adjustment needs to match the artistic atmosphere and the user's transient demand to avoid harsh adjustment that leads to a decrease in user experience. Existing backlight adjustment can directly jump to the target brightness, causing user discomfort. By using the contextual backlight fusion strategy set, flexible intervention is performed on the mobile phone backlight to ensure that the backlight change is coordinated with the current artistic atmosphere and adapts to the user's transient demand, such as gradually adjusting the brightness or color temperature, improving user comfort, and solving the problem of user resistance caused by the abrupt adjustment of traditional methods.

[0034] In the manner provided by the embodiment, the ambient light and shadow dynamic information set and the user behavior intention information are obtained, and the light and shadow-user context information set is analyzed, so that the backlight adjustment can fully consider the characteristics of the ambient light and shadow and the user's intention, and improve the individualized adaptation ability; based on the light and shadow-user context information set, the dynamic tension relationship between artistic immersion demand, visual task efficiency, and visual health is analyzed to obtain the contextual backlight fusion strategy set, which realizes the enhancement of user experience while ensuring visual health; according to the contextual backlight fusion strategy set, flexible intervention is performed to ensure that the backlight change is smooth and matches the artistic atmosphere and the user's transient demand, improve user comfort and satisfaction, and promote the intelligent development of mobile phone backlight adaptive adjustment technology.

[0035] In some embodiments, the ambient light dynamic information set includes ambient light intensity information and ambient light color temperature information; the user behavior intention information includes user gesture operation information and user application context information; based on the ambient light intensity information, combined with the ambient light color temperature information, the dynamic light and shadow regulation requirement required to maintain the immersion of the live atmosphere is analyzed to obtain an ambient light and shadow artistic feature set; based on the gesture operation information, combined with the user application context information, the real-time interaction preference and performance rhythm requirement of the user are analyzed to obtain a user task intention feature set; based on the ambient light and shadow artistic feature set, combined with the user task intention feature set, the current use of the mobile phone dominant context of the user is determined to obtain a light and shadow-user context information set.

[0036] The ambient light intensity information can be the light intensity value of the surrounding environment collected by the mobile phone through the ambient light sensor in real time.

[0037] The ambient light color temperature information can be the ambient light color temperature value obtained by the mobile phone through the color temperature sensor or the image processing module.

[0038] The user application context information can be the current application type and state data provided by the mobile phone operating system.

[0039] The ambient light and shadow artistic feature set can be a dynamic light and shadow regulation requirement set obtained by analyzing the ambient light intensity information and the ambient light color temperature information.

[0040] The user task intention feature set can be a user real-time preference and rhythm requirement feature set obtained by analyzing the gesture operation information and the user application context information.

[0041] Specifically, the use scenarios of modern mobile phones are becoming increasingly complex. In scenarios such as concerts and dynamic art exhibitions that highly rely on atmosphere immersion, the existing methods will produce serious maladjustment due to the neglect of the artistic expressiveness of ambient color temperature and the real-time behavior intention of the user. For example, in a concert scenario, when the stage lighting is instantaneously switched from a low-color-temperature warm light romantic segment to a high-color-temperature cold light climax part, the existing technology only linearly increases the backlight brightness according to the light intensity, completely destroying the emotional atmosphere carefully created by the lighting designer. At the same time, if the user is using the mobile phone to record a video, the creative intention embodied by the user's gesture operations such as fast panning and zooming cannot be identified, resulting in a lag or excessive brightness of the backlight response, which not only causes instantaneous visual discomfort, but also increases the long-term visual load due to continuous eye movement adjustment. In a dynamic viewing exhibition, the existing method cannot perceive the intention switching of the user from immersive viewing to interactive operation, causing the coherence of the artistic experience to be interrupted by mechanical brightness adjustment. The present step solves the above problems by the following methods: first, through multi-sensor data fusion technology, the real-time light intensity data (such as 300 lux at a certain moment in a concert) collected by the ambient light sensor and the color temperature data (such as 4000K at the same moment) obtained by the color temperature sensor are spatio-temporally aligned, and then a mutation detection algorithm based on a sliding window is used to analyze the light intensity sequence, identify the mutation interval (such as the stage flash moment when the light intensity jumps from 100 lux to 800 lux within 1 second) and the gradual change interval (such as the curtain call segment when the light intensity slowly decreases from 800 lux to 200 lux within 20 seconds), and extract the continuity feature of the light and shadow atmosphere; at the same time, through a coordination analysis model based on color psychology, the matching degree of the ambient color temperature and the on-site artistic atmosphere (such as the neutral color temperature of 4000K matching the cool style of modern dance performance) is evaluated, and ambient color temperature atmosphere matching information is generated; then, a bidirectional long short-term memory network (Bi-LSTM) is used to build a bidirectional feedback mechanism, which predicts the evolution trend of the ambient light and shadow in the next few seconds (such as predicting that the color temperature will rise from 4000K to 6000K in the next 5 seconds), and the backward direction corrects the prediction result according to the artistic immersion maintenance requirement (such as maintaining the tension atmosphere of the performance), and finally dynamically outputs an ambient light and shadow artistic feature set containing a brightness adjustment curve and a color temperature compensation parameter.On the user intention analysis side, the original gesture coordinate sequence (such as 120 sampling points per second) collected through the touch screen is subjected to a pattern recognition module based on a one-dimensional convolutional neural network (1D-CNN), and features such as operation frequency and trajectory smoothness are extracted to determine the real-time interaction preference (such as a high-frequency short sliding gesture representing a reading intention of quickly flipping pages); at the same time, through system hook technology, application context information (such as detecting that the video player is in full-screen high-definition mode) is captured in real time, and combined with a context analysis engine based on rule reasoning, the user's performance rhythm demand (such as users in full-screen mode tend to immerse themselves in watching and do not want the backlight to fluctuate frequently) is analyzed; finally, the ambient light and shadow artistic feature set and the user task intention feature set are input into a multi-modal fusion module based on an attention mechanism, which can dynamically allocate weights (such as assigning a higher weight to the color temperature feature in a concert scene), and then through a LightGBM classifier, the user's current dominant context (such as "high-intensity dynamic entertainment" or "low-intensity static reading") is determined, thereby generating a precise light-user context information set to provide a decision basis for subsequent backlight strategies.

[0042] By the way provided by the embodiment, the ambient light and shadow dynamic information set and the user behavior intention information are analyzed, the cross-modal fusion of the ambient light and shadow artistic features and the user task intention is realized, the light-user context information set is generated, the backlight adjustment can accurately adapt to the user's instantaneous demand and artistic atmosphere, the visual comfort and immersion are improved, the long-term eye movement load is reduced, and the coherence and intelligence of the user experience are enhanced.

[0043] In some embodiments, based on the ambient light intensity information, the mutation interval and the gradual change interval of the ambient light intensity are analyzed to obtain light and shadow atmosphere continuity information; based on the ambient light color temperature information, the coordination relationship between the ambient light color temperature and the on-site artistic atmosphere is analyzed to obtain ambient color temperature atmosphere matching information; based on the light and shadow atmosphere continuity information, combined with the ambient color temperature atmosphere matching information, a two-way feedback mechanism is used to evaluate the matching degree of the ambient light and shadow and the artistic immersion, the forward prediction of the evolution trend of the ambient light and shadow is performed, and the backward correction of the artistic atmosphere maintenance demand is performed to determine the dynamic light and shadow regulation demand, and the ambient light and shadow artistic feature set is obtained.

[0044] The light and shadow atmosphere continuity information can be information reflecting the coherence degree of light and shadow change obtained after analyzing the change rule of the ambient light intensity.

[0045] The ambient color temperature atmosphere matching information can be information for judging the color temperature adaptability formed by analyzing the coordination degree between the ambient light color temperature and the on-site artistic scene tone.

[0046] The two-way feedback mechanism can be a closed-loop regulation method with forward prediction and backward correction.

[0047] The dynamic light and shadow regulation requirement can be to maintain the immersion of the specific artistic atmosphere in the scene, and the specific requirement for dynamic adjustment of the mobile phone backlight.

[0048] Specifically, in the actual application of mobile phone backlight brightness adjustment, users are often in various scenes with specific artistic atmosphere, such as art exhibition, concert scene, science fiction theme theater, etc. These scenes have high requirements for the coordination and immersion of light and shadow environment. If the backlight is simply adjusted according to the single dimension of ambient light intensity or color temperature, it cannot meet the deep needs of users. This step solves the above problems by the following methods: first, based on the ambient light intensity information, the time derivative of the light intensity is calculated by the change rate analysis method to identify the mutation interval and the gradual change interval, for example, when the ambient light intensity suddenly changes from 100 lux to 500 lux and the change rate exceeds 10 lux per second, it is determined as the mutation interval, and the change rate below 2 lux per second is considered as the gradual change interval, so as to obtain the light and shadow atmosphere continuity information; at the same time, based on the ambient light color temperature information, the color temperature matching method is used to compare the current color temperature value with the preset artistic atmosphere color temperature range, for example, in the theater mode, the color temperature range is set to 2700-3500K, if the real-time color temperature is 3000K, the matching degree is high, and 4000K needs to be adjusted, so as to obtain the ambient color temperature atmosphere matching information; then, combining the above information, a two-way feedback mechanism is used for evaluation, in which the forward prediction of the evolution trend of the ambient light and shadow uses time series analysis techniques such as exponential smoothing method, based on historical light intensity and color temperature data to predict the change trend in the next few seconds, for example, to predict that the light intensity will gradually rise to 600 lux, and the backward correction of artistic atmosphere maintenance requirement applies feedback control algorithm such as proportional-integral-derivative controller, dynamically adjusts the target backlight parameters, for example, by reducing the brightness increment and fine-tuning the color temperature to maintain the warm atmosphere; finally, the matching degree score is obtained by weighting the continuity information and the matching information, and the dynamic light and shadow regulation requirement is determined, for example, the instruction of reducing the backlight brightness by 20% and adjusting the color temperature to 3200K is generated, forming the ambient light and shadow artistic feature set, which is used for subsequent backlight adjustment.

[0049] By the way provided by this embodiment, the adaptability of the mobile phone backlight in complex environment can be effectively enhanced, the artistic immersion and visual comfort can be improved, the discomfort of users caused by the change of light environment can be reduced, and the balance of eye movement load in long-term use can be optimized.

[0050] In some embodiments, based on the user gesture operation information, the frequency of user operation and the smoothness of operation trajectory are analyzed, the smoothness is positively correlated with the interactive urgency of the user using the mobile phone, and user interactive urgency information is obtained; based on the user application context information, the application type and the content dynamic change rhythm are analyzed, and user task rhythm demand information is constructed; based on the user interactive urgency information, combined with the user task rhythm demand information, a multi-dimensional intention fusion mechanism is used to infer the current dominant intention of the user, the coordination of interactive preference and task rhythm is evaluated, the real-time interactive preference and performance rhythm demand are determined, and the user task intention feature set is constructed.

[0051] The smoothness of the operation trajectory can be the fluency of the user gesture operation, which is positively correlated with the interactive urgency, i.e. the higher the smoothness, the more urgent the user operation, and the higher the interactive urgency.

[0052] The interactive urgency can be the degree of urgency when the user uses the mobile phone.

[0053] The application type can be the category of the application, such as games, video players or readers.

[0054] The content dynamic change rhythm can be the rate of change of application content.

[0055] The user task rhythm demand information can be the user's demand for task execution rhythm, such as fast response or slow browsing.

[0056] The multi-dimensional intention fusion mechanism can be a mechanism that fuses multiple dimensional information (such as gesture urgency and application rhythm) to infer intention, such as weighted fusion or decision tree model.

[0057] The current dominant intention of the user can be the current main purpose of the user, such as entertainment or work.

[0058] The coordination of interactive preference and task rhythm can be whether the user's interactive way matches the task rhythm, such as the coordination degree of high urgency and fast rhythm task.

[0059] The real-time interactive preference can be the current interactive tendency of the user.

[0060] The performance rhythm demand can be the rhythm demand of content presentation in the entertainment scene.

[0061] Specifically, mobile phone backlight adjustment needs to accurately adapt to user real-time behavior and task context to improve visual experience and health. User gesture operation information and application context information directly reflect user interaction state and task demand, but a single information source may not fully capture user intent. For example, during fast swipe operation, if the application rhythm is slow, backlight adjustment may not match, leading to visual discomfort or low task efficiency. By analyzing operation frequency and smoothness, interaction urgency can be quantified to avoid subjective misjudgment. By analyzing application type and content change rhythm, task rhythm demand can be identified to prevent backlight adjustment from being out of sync with content. A multi-dimensional intent fusion mechanism addresses conflicts between different information sources, ensuring that the inferred dominant intent is more accurate, thereby balancing artistic immersion, task efficiency, and visual health. This step addresses the above problems through the following methods: First, based on user gesture operation information, raw data is collected through mobile touch screen sensors and motion sensors (such as accelerometers), and signal processing techniques (such as moving average analysis and trajectory curvature calculation) are used to analyze user operation frequency (such as the number of operations per second, such as 2 clicks) and operation trajectory smoothness (such as calculating the curvature radius of trajectory points, such as a radius greater than 0.5 cm indicating high smoothness), where smoothness is positively correlated with user interaction urgency (high smoothness corresponds to high urgency), thereby obtaining user interaction urgency information. Second, based on user application context information, application type (such as distinguishing between games, video players, or document readers) and content dynamic change rhythm (such as analyzing video stream frame rate, such as 30 frames / second, or text scrolling speed, such as 5 lines per second) are obtained through operating system APIs (such as Android or iOS Activity Manager). Time series analysis and pattern recognition methods (such as clustering algorithms) are used to construct user task rhythm demand information. Third, based on user interaction urgency information and user task rhythm demand information, a multi-dimensional intent fusion mechanism (such as using a weighted fusion model or a decision tree classifier) is used to calculate interaction preference (such as response demand derived from urgency) and task rhythm (such as content rhythm derived from application context) coordination indicators (such as matching score), infer user's current dominant intent (such as entertainment dominant or work dominant), and determine real-time interaction preference (such as backlight adjustment speed preference) and performance rhythm demand (such as backlight brightness change rhythm), ultimately constructing user task intent feature set (as a feature vector output for subsequent backlight strategy).For example, when a user plays a fast-paced game, high operation frequency (e.g., 3 swipes per second) and smooth trajectory (smoothness index higher than 0.8) indicate high urgency, combined with high frame rate rhythm (e.g., 60 frames per second) of the game application, the fusion mechanism infers the entertainment dominant intention through weighted evaluation, and sets the backlight fast adjustment to match the performance rhythm; while reading an e-book, low operation frequency (e.g., 0.5 page turns per second) and stable trajectory (smoothness index lower than 0.5) indicate low urgency, combined with slow content changes (e.g., 1 page scrolling per second), the backlight is slowly adjusted to maintain visual comfort. The whole process through real-time data acquisition, signal processing and intelligent fusion technology, ensures that the backlight adjustment dynamically and accurately adapts to user behavior and task requirements.

[0062] By the way provided by the embodiment, the user's real-time intention and task requirement can be more accurately captured, the backlight adjustment is more in line with the user's behavior, the visual comfort and task efficiency are improved, the eye movement load and long-term visual fatigue are reduced, and the immersion and health of mobile phone use are enhanced.

[0063] In some embodiments, based on the light and shadow atmosphere continuity information, combined with the environment color temperature atmosphere matching information, the influence degree of the environment light and shadow on the user's visual perception when watching the mobile phone is analyzed to obtain environment light and shadow influence information; based on the user interaction urgency information, combined with the user task rhythm demand information, the demand intensity of the user task on the brightness of the backlight plate is analyzed to obtain backlight plate brightness demand intensity information; based on the environment light and shadow influence information, combined with the backlight plate brightness demand intensity information, a multi-dimensional situation discrimination mechanism is used for fusion and deduction, the competition and cooperation relationship between the environment light and shadow dominance and the user task dominance is evaluated, and a light and shadow-user situation information set is obtained.

[0064] The environment light and shadow influence information can be based on the light and shadow atmosphere continuity information and the environment color temperature atmosphere matching information, and comprehensively analyze the influence degree of the environment light and shadow on the user's visual perception when watching the mobile phone.

[0065] The backlight plate brightness demand intensity information can be based on the user interaction urgency information and the user task rhythm demand information.

[0066] The multi-dimensional situation discrimination mechanism can be a mechanism for fusing multiple sources of information, for evaluating the competition and cooperation relationship between the environment light and shadow dominance and the user task dominance, so as to discriminate the dominant situation.

[0067] Specifically, in high immersive scenarios such as concerts, dynamic art exhibitions, etc., the defects of existing mobile phone backlight adjustment technology are particularly prominent: the single reliance on environmental light intensity or user operation adjustment logic cannot cope with the complex game between environmental light artistry and user task immediacy. For example, when a stage laser show creates a strong atmosphere, if the user suddenly needs to quickly scan the code to enter, the existing method either reduces the backlight to make it difficult to scan the code due to excessive emphasis on environmental immersion, or forcibly brightens the backlight to destroy the on-site artistic appeal to ensure operation. The present step solves the above problems by the following method: first, use the front environmental light sensor to collect light and shadow continuity information (such as detecting that the light changes from 200 lux to 800 lux in 0.5 seconds in a laser show scene), cooperate with the color temperature sensor to obtain environmental color temperature atmosphere matching information (such as identifying the coordination degree of 6500K cold tone and stage technology on the scene), calculate the environmental light and shadow influence information through the visual attention model (such as quantifying the dispersion coefficient of stage stroboscopic light on mobile phone screen attention to 0.7), and analyze user interaction urgency information based on touch sampling rate (such as monitoring high-frequency sliding operation of 5 times per second), combined with application context interface to obtain task rhythm demand information (such as identifying the stability requirement of the code scanning application that needs to be continuously focused), and using demand mapping algorithm to generate backlight panel brightness demand intensity information (such as outputting an intensity coefficient of 0.9). Then enter the multi-dimensional situation discrimination stage: when the environmental light and shadow influence information and the backlight demand intensity information are both higher than the threshold (such as greater than 0.6 and 0.8 respectively), start the competitive relationship analysis module, and calculate the dominant factor through the fuzzy decision system, for example, in the concert code scanning scene, the system detects that the user maintains the code scanning posture for 3 seconds, even if the environmental light and shadow influence coefficient is 0.7, the user task dominance weight is dynamically increased to 0.75, and finally the light-user situation information set characterized by "task priority-environment adaptation" is generated. Through the real-time calibration weight distribution mechanism, the optimal balance point between artistic immersion and functional demand is ensured.

[0068] Through the way provided by the present embodiment, the current dominant situation of the user using the mobile phone can be accurately distinguished, the backlight adjustment is more suitable for the actual use scene, and the comfort and intelligence of the user experience are improved; at the same time, through dynamic weighing of the competition and cooperation relationship between environmental light and shadow and user task, visual discomfort or task interruption is avoided, and visual health protection and artistic immersion are enhanced.

[0069] In some embodiments, based on the ambient light shadow influence information, the influence of the visual atmosphere demand in the activity on the user watching the mobile phone is analyzed to obtain immersion demand intensity information; based on the back light panel brightness demand intensity information, the occupation degree of clear reading demand on user attention is analyzed to obtain mobile phone clear use demand information; based on the ambient light shadow influence information, combined with the back light panel brightness demand intensity information, the potential load of the superposition of the two on visual health is analyzed to obtain visual health load warning information; based on the immersion demand intensity information, the mobile phone clear use demand information, combined with the visual health load warning information, a dynamic tension analysis mechanism is used for triple demand game deduction, the competitive relationship between activity immersion demand and mobile phone clear use is evaluated in real time, and dynamic balance point calibration is performed combined with the visual health load warning information to obtain a dynamic tension relationship.

[0070] The immersion demand intensity information can be a demand degree of the user in the current scene for the mobile phone backlight to match the on-site artistic atmosphere.

[0071] The mobile phone clear use demand information can be a core appeal of the user to visual clarity when using the mobile phone.

[0072] The visual health load warning information can be warning information formed by integrating the ambient light shadow influence information and the back light panel brightness demand intensity information, analyzing the potential burden (such as eye fatigue, vision damage risk, etc.) that the superposition of the two may cause to the user's visual system.

[0073] The dynamic tension analysis mechanism can be an analysis framework for analyzing the interaction and mutual restraint relationship among artistic immersion demand, visual task efficiency and visual health.

[0074] The triple demand game deduction can be for artistic immersion demand, visual task efficiency and visual health, which are three core demands.

[0075] The dynamic balance point calibration can be a process of continuously adjusting and optimizing the balance state among the three types of demands according to the real-time obtained changes of various demand information, to ensure that the optimal demand satisfaction state can be maintained when the scene changes dynamically.

[0076] The dynamic tension relationship can be comprehensive information formed to fully reflect the dynamic game relationship among artistic immersion demand, visual task efficiency and visual health.

[0077] Specifically, in dynamic light and shadow environments such as concerts or light and shadow art exhibitions, users face a complex tension between artistic immersion, visual task efficiency, and visual health when using their mobile phones: the dramatic changes in environmental light and shadow (such as stage light flickering or projection effects) require the phone's backlight to both maintain the immersive atmosphere of the live art and ensure screen clarity to support user tasks (such as taking photos or social sharing), while avoiding long-term eye movement load accumulation. Existing brightness adjustment techniques often make linear adjustments based on a single environmental light parameter, failing to scientifically balance the dynamic competition between these multiple demands, resulting in either too dark a backlight affecting task efficiency (such as difficulty reading messages on the screen during a concert climax) or too bright a backlight disrupting the artistic atmosphere and inducing visual fatigue (such as strong backlight causing glare in dark environments). For example, in a dynamic light and shadow exhibition, if a user is immersed in light and shadow art while using a mobile phone for navigation, existing methods may fail to adjust in a coordinated manner due to neglecting user intent, resulting in a fragmented experience or health risks. This step addresses the above problems through the following methods: starting with environmental light and shadow impact information (obtained through the phone's built-in light sensor and image sensor to obtain environmental light intensity and color temperature data, such as high environmental light intensity and warm color temperature in a concert), using light and shadow analysis methods (such as using regression algorithms in machine learning models to evaluate the impact of visual atmosphere demand on users' viewing of the phone), obtaining immersion demand intensity information (such as high immersion demand intensity); at the same time, based on backlight panel brightness demand intensity information (derived from user behavior intent information such as gesture operation frequency and application context, processed through a time series analysis model in the intent recognition method), analyze the degree of attention occupied by clear reading demand, obtain clear use demand information of the phone (such as high clarity use demand); then, combining environmental light and shadow impact information and backlight panel brightness demand intensity information, using load evaluation methods (such as a classifier model trained based on historical eye movement data), analyze the potential load of the superimposed effects of the two on visual health, obtain visual health load warning information (such as medium load warning, indicating that high brightness demand in strong light and shadow may increase the risk of eye fatigue); then, using a dynamic tension analysis mechanism (a multi-objective optimization algorithm such as weighted summation or game theory method), the immersion demand intensity information, the clear use demand information of the phone, and the visual health load warning information are subjected to a three-way demand game deduction, through real-time evaluation of the competition between activity immersion demand and clear use of the phone (such as in a concert scenario, when the immersion demand is high and the clear use demand is also high, the mechanism prioritizes task efficiency but maintains basic artistic immersion through backlight fading), and combined with the visual health load warning information to calibrate the dynamic balance point (such as when the load warning reaches a threshold such as medium level, appropriately reduce the backlight brightness or adjust the color temperature to reduce the eye movement load), finally output the demand dynamic tension relationship information, which is used to guide the subsequent backlight adjustment strategy, ensuring that the adjustment process responds to environmental changes while considering user intent and health protection.

[0078] By the manner provided by the embodiment, the artistic immersion demand, the visual task efficiency and the visual health can be dynamically balanced, the user experience of using the mobile phone in a variable environment is improved, visual fatigue and discomfort are reduced, and it is ensured that the backlight adjustment is adapted to the artistic atmosphere and meets the task demand, thereby enhancing the intelligent interaction and health protection of the mobile phone.

[0079] In some embodiments, the triple demand includes artistic immersion demand, visual task efficiency and visual health; when the immersion demand intensity information and the mobile phone clear use demand information conflict, the user's mobile phone viewing demand is prioritized, and the basic artistic immersion is maintained through the mutation of the mobile phone backlight plate; when the visual health load warning information reaches the threshold value, the active immersion demand and the intensity demand of the mobile phone clear use are simultaneously weakened, and the brightness of the mobile phone backlight plate is adaptively adjusted with the visual health as the core.

[0080] The visual health can be the demand of avoiding long-term or instantaneous damage to the eyes caused by the mobile phone backlight.

[0081] The demand conflict can be the inconsistency in the adjustment direction between the artistic immersion demand intensity information and the mobile phone clear use demand information.

[0082] The visual health load warning threshold value can be a critical standard for determining the potential risk of backlight adjustment to visual health.

[0083] Specifically, in dynamic light and shadow environments such as concerts or light and shadow art exhibitions, users face a complex conflict between artistic immersion needs, visual task efficiency, and visual health when using mobile phones. Existing backlight adjustment techniques often only make linear adjustments based on single environmental light intensity or user operations, resulting in either overemphasizing artistic immersion and making the screen too dark, affecting user task efficiency when viewing information or operating the phone, or significantly increasing brightness to ensure clarity, which destroys the artistic atmosphere of the environment and causes visual discomfort. This single-dimensional adjustment cannot adapt to multi-modal user situations, and long-term use may also accumulate eye movement load and visual fatigue. This step solves the above problems by the following method: First, based on the light and shadow-user situation information set, real-time acquisition of immersion demand intensity information, mobile phone clear use demand information and visual health load warning information is carried out. These information are obtained by analyzing the dynamic of environmental light and shadow (such as light intensity mutation interval and color temperature coordination relationship) and user behavior intention (such as operation frequency and application context), for example, in a concert scene, when the environmental light intensity changes from low to high (such as from 50 lux to 500 lux), the immersion demand intensity information may reach a high value of 0.8, and the user frequently slides the screen to view messages, which makes the mobile phone clear use demand information rise to 0.9. At this time, using priority decision means, the user's viewing phone demand is prioritized, the brightness is increased (such as from 200 nits to 300 nits) through the backlight driving module to ensure that the screen is clear and visible, and at the same time, the backlight mutation technology is used, such as temporarily adjusting the backlight color temperature (from standard 5000K to 4000K) or introducing microsecond-level brightness fluctuations through PWM dimming or color temperature control chips, to match the rhythm of environmental light and shadow and maintain the basic artistic immersion; if the visual health load warning information (a load index obtained by superimposing environmental light and shadow and user tasks, such as cumulative load calculated by an eye movement model) reaches a preset threshold (such as 0.8), a synchronous weakening strategy is started, and an adaptive adjustment algorithm (such as a smooth gradient function or a PID control) is used to reduce the backlight brightness (such as from 250 nits to 150 nits) and adjust the color temperature, while weakening the intensity of active immersion demand and mobile phone clear use, ensuring that visual health is the core. The entire implementation process relies on real-time data stream processing (such as using multi-thread sensor fusion technology) and dynamic feedback loops, using environmental light sensors, accelerometers, and user interaction logs for continuous evaluation and adjustment, ensuring that the backlight adjustment remains responsive and coordinated in changing scenarios such as dynamic light and shadow exhibitions, avoiding visual impact or health risks.

[0084] By the manner provided by the embodiment, artistic immersion demand, visual task efficiency and visual health can be effectively balanced, user's mobile phone use experience in multiple scenes is improved, in conflict situations, visual task efficiency is preferentially ensured to ensure that the user can clearly use the mobile phone, artistic immersion is maintained through backlight mutation to avoid damage to the environment atmosphere, when visual health is threatened, health is taken as the core to regulate the backlight, long-term eye movement load and visual fatigue are reduced, visual health is promoted, mobile phone backlight regulation is more intelligent and humanized, user satisfaction and device adaptability are enhanced.

[0085] In some embodiments, based on the visual health load warning information, the intensity level of instantaneous discomfort caused by dynamic adjustment of the backlight plate when the user uses the mobile phone is analyzed to obtain instantaneous discomfort assessment information; based on the immersion demand intensity information, combined with the mobile phone clear use demand information, the cumulative information of the eye movement load caused by the backlight plate when the mobile phone is used for a long time is analyzed to obtain long-term eye movement load information; based on the instantaneous discomfort assessment information, combined with the long-term eye movement load information, the applicability of the active light and shadow fusion strategy is balanced by using a multi-objective optimization mechanism, the synergistic effect of instantaneous discomfort relief and long-term eye movement load reduction is evaluated, the balance backlight regulation parameter is determined, and a situational backlight fusion strategy set is obtained.

[0086] The instantaneous discomfort assessment information can be a quantitative evaluation result of short-term discomfort feeling of the user in the process of using the mobile phone due to dynamic adjustment of the backlight plate.

[0087] The long-term eye movement load information can be information of load accumulation of eye movement caused by continuous operation of the backlight plate when the user uses the mobile phone for a long time.

[0088] The multi-objective optimization mechanism can be an analysis method that takes into account multiple target appeals and seeks a comprehensive optimal solution, which is used here to balance the relationship between instantaneous discomfort relief, long-term eye movement load reduction and applicability of the active light and shadow fusion strategy.

[0089] The active light and shadow fusion strategy can be an active backlight regulation scheme formulated based on light and shadow-user situation information set to achieve balance between artistic immersion and visual task efficiency.

[0090] Specifically, during the process of adjusting the backlight of the mobile phone, if only the artistic immersion or visual task efficiency is focused on, and the balance between the user's instantaneous discomfort and long-term eye movement load is ignored, it may lead to the user's instantaneous visual discomfort (such as glare or brightness jump) when the backlight suddenly changes, or the accumulation of eye movement fatigue due to the mismatch of the backlight in the long-term use, affecting the visual health and user experience; for example, in a low light environment, if the backlight adjustment is too aggressive to maintain the artistic atmosphere, the user may feel dizzy due to the rapid change of brightness, and the eye muscle load increases in the long-term use, causing visual fatigue; on the contrary, if the visual task efficiency is excessively prioritized, the backlight is continuously high, although the clarity is guaranteed, it may destroy the environmental immersion and increase the long-term eye movement burden; the above problems are solved by the following methods: first, based on the visual health load warning information (such as medium load level), the intensity level mapping method is used to analyze the instantaneous discomfort caused by the dynamic adjustment of the backlight, for example, when the warning information prompts the risk of high-frequency brightness fluctuation, the load level is converted to a specific discomfort intensity rating (such as high-intensity instantaneous discomfort) by querying the preset discomfort mapping table; secondly, combined with the immersion demand intensity information (such as high atmosphere maintenance demand) and the mobile phone clarity use demand information (such as high-definition demand for text reading), the time accumulation model is used to analyze the long-term eye movement load, for example, by simulating the continuous stress of the eye adjustment muscle caused by the backlight parameters during the continuous use of the mobile phone, the load accumulation trend is quantified; on this basis, a multi-objective optimization mechanism (such as a Pareto solution set search method based on weight allocation) is used to balance the applicability of the active light and shadow fusion strategy, specifically by constructing an instantaneous discomfort relief objective function (such as minimizing the brightness mutation amplitude) and a long-term eye movement load reduction objective function (such as optimizing the backlight spectrum distribution), the synergistic effect of the two (such as improving the instantaneous comfort and the long-term load by adjusting the backlight gradual change rate) is evaluated, and the optimal solution is screened by using the constraint condition (such as the color temperature matching range of the environmental light and shadow artistic feature set); finally, according to the optimization result, the balanced backlight regulation parameters (such as setting the brightness adjustment upper limit to a reasonable value, and controlling the gradual change time in a certain comfortable interval) are determined, and based on the parameter combination, a set of backlight fusion strategies suitable for different situations (such as cinema mode, reading mode) is generated, ensuring that the strategy can avoid user instantaneous discomfort through soft brightness transition when it is executed in real time, and reduce the long-term eye movement load through sustainable backlight parameters.

[0091] By the way provided by the embodiment, based on the visual health load warning information, the immersion demand intensity information and the mobile phone clarity use demand information, the instantaneous discomfort and the long-term eye movement load are analyzed, and the multi-objective optimization mechanism is used to balance the active light and shadow fusion strategy, the balanced backlight regulation parameters are determined, so that the situational backlight fusion strategy set can guarantee the artistic immersion and visual task efficiency while effectively relieving the user's instantaneous discomfort and reducing the long-term eye movement load, thereby improving the visual health level and user experience.

[0092] In some embodiments, based on the instantaneous discomfort evaluation information, combined with the long-term eye movement load information, the effect of backlight adjustment on user instantaneous discomfort relief and long-term eye movement load reduction is analyzed to obtain a backlight health regulation parameter; based on the backlight health regulation parameter, combined with the environmental light and shadow artistic feature set and the user task intention feature set, the matching degree of backlight adjustment with artistic atmosphere and user instantaneous demand is analyzed to obtain a backlight artistic demand matching parameter; based on the backlight health regulation parameter, combined with the backlight artistic demand matching parameter, a multi-objective optimization mechanism is used to determine a backlight brightness adjustment value, and through the comprehensive balance of visual health, artistic atmosphere and user instantaneous demand, progressive backlight adjustment is performed.

[0093] The backlight health regulation parameter can be a backlight regulation related parameter for ensuring visual health determined by analyzing the actual effect of backlight adjustment on user instantaneous discomfort relief and long-term eye movement load reduction.

[0094] The backlight artistic demand matching parameter can be an adaptability parameter obtained by analyzing the degree of fit of backlight adjustment with artistic atmosphere and user instantaneous demand, combined with the backlight health regulation parameter, the environmental light and shadow artistic feature set and the user task intention feature set.

[0095] The multi-objective optimization mechanism can be a comprehensive balance of multiple objectives (visual health, artistic atmosphere, user instantaneous demand).

[0096] The backlight brightness adjustment value can be a specific brightness adjustment value of the mobile phone backlight determined by the multi-objective optimization mechanism after balancing visual health, artistic atmosphere and user instantaneous demand.

[0097] The artistic atmosphere can be an immersive atmosphere created by the environmental light and shadow features and matched with the scene (such as art exhibition, performance site) where the user is located.

[0098] The progressive backlight adjustment can be a gradual adjustment of the brightness of the mobile phone backlight according to a preset smooth rhythm, avoiding sudden changes in the adjustment mode.

[0099] Specifically, in high dynamic light environments such as concerts or dynamic light shows, existing mobile phone backlight adjustment techniques usually only rely on simple linear adjustment of ambient light intensity, ignoring the immersion of artistic atmosphere and the complexity of user's instantaneous task requirements, leading to user discomfort caused by sudden backlight changes, long-term eye movement load accumulation and visual health damage, as well as the destruction of the unity of the live artistic experience. For example, when the light and shadow of a concert change rapidly, the existing method may suddenly increase the backlight due to the inability to identify that the user is viewing an urgent message, causing temporary visual interference, or ignoring the continuity of light and shadow art and reducing the sense of immersion. This step solves the above problems by the following methods: First, based on instantaneous discomfort evaluation information (such as the intensity level of temporary dizziness caused by rapid changes in backlight) and long-term eye movement load information (such as the accumulation of eye muscle fatigue caused by long-term use of the mobile phone), the effect of backlight adjustment on relieving instantaneous discomfort (such as reducing the intensity of dizziness) and reducing long-term load (such as reducing eye movement fatigue accumulation) is evaluated by effect analysis methods (such as regression analysis or causal inference models), to obtain backlight health regulation parameters (such as setting the backlight brightness adjustment range to -20% to +20%); Then, combined with the environmental light and shadow artistic feature set (such as the continuity feature and color temperature matching feature of the environmental light and shadow, by collecting environmental light intensity and color temperature data through sensors and analyzing their coordination with artistic atmosphere), and the user task intention feature set (such as user gesture operation frequency and application context information, by machine learning algorithm to identify task urgency and rhythm demand), the matching degree of backlight adjustment and artistic atmosphere (such as maintaining the backlight color temperature required for concert light immersion) and user's instantaneous demand (such as the clarity of backlight when quickly reading notifications) is analyzed by matching degree analysis methods (such as similarity calculation or decision tree model), to obtain backlight artistic demand matching parameters (such as backlight color temperature adjustment value to match the environmental color temperature); Then, based on these parameters, a multi-objective optimization mechanism (such as weight allocation and constraint optimization algorithm) is used to balance the comprehensive balance of visual health, artistic atmosphere and user's instantaneous demand, to determine the backlight brightness adjustment value (such as moderately reducing the brightness to maintain the sense of immersion when the artistic atmosphere is strong, and increasing the brightness to ensure clarity when the user's task is urgent), and to perform gradual backlight adjustment (such as gradually changing the backlight brightness within 2 seconds to avoid sudden changes causing discomfort). The whole process realizes real-time data fusion and dynamic optimization, ensuring that the backlight adjustment is flexible and accurate in dynamic light environments, improving the consistency and comfort of user experience.

[0100] By the way provided by the embodiment, the dynamic balance of mobile phone backlight adjustment, visual health, artistic atmosphere and user's instantaneous demand is realized, the user's instantaneous discomfort is effectively relieved, the long-term eye movement load is reduced, the artistic immersion is maintained, the user experience and visual comfort are improved, and the backlight adjustment is more suitable for actual use scenarios.

[0101] Figure 3A structural schematic diagram of an adaptive brightness adjustment system for a mobile phone backlight provided by an embodiment of the present application is shown in Figure 3 An adaptive brightness adjustment system 300 for a mobile phone backlight of the embodiment includes a light and shadow context perception module 301, a fusion strategy module 302, and a backlight execution module 303.

[0102] The light and shadow context perception module 301 is configured to obtain an ambient light and shadow dynamic information set and user behavior intention information, analyze cross-modal fusion and deduction information of light and shadow artistic features and user task intention based on the ambient light and shadow dynamic information set and in combination with the user behavior intention information, and obtain a light and user context information set. The fusion strategy module 302 is configured to analyze a dynamic tension relationship among artistic immersion demand, visual task efficiency, and visual health based on the light and user context information set, and balance the balance of active light and shadow fusion strategy and user transient discomfort and long-term eye movement load, to obtain a contextual backlight fusion strategy set. The backlight execution module 303 is configured to execute flexible intervention of the mobile phone backlight that matches the artistic atmosphere and user transient demand based on the contextual backlight fusion strategy set.

[0103] Optionally, in the analysis of cross-modal fusion and deduction information of light and shadow artistic features and user task intention to obtain a light and user context information set, the light and shadow context perception module 301 is specifically configured to: The ambient light and shadow dynamic information set includes ambient light intensity information and ambient light color temperature information. The user behavior intention information includes user gesture operation information and user application context information. Based on the ambient light intensity information and in combination with the ambient light color temperature information, the dynamic light and shadow regulation demand required to maintain the on-site atmosphere immersion is analyzed to obtain an ambient light and shadow artistic feature set. Based on the gesture operation information and in combination with the user application context information, the real-time interactive preference and performance rhythm demand of the user are analyzed to obtain a user task intention feature set. Based on the ambient light and shadow artistic feature set and in combination with the user task intention feature set, the current use of the mobile phone dominant context of the user is determined to obtain the light and user context information set.

[0104] Optionally, in the analysis of the dynamic light and shadow regulation demand required to maintain the on-site atmosphere immersion to obtain an ambient light and shadow artistic feature set, the light and shadow context perception module 301 is specifically configured to: Based on the ambient light intensity information, a sudden change interval and a gradual change interval of the ambient light intensity are analyzed to obtain light and shadow atmosphere continuity information; based on the ambient light color temperature information, a coordination relationship between the ambient light color temperature and the live artistic atmosphere is analyzed to obtain ambient color temperature atmosphere matching information; based on the light and shadow atmosphere continuity information, in combination with the ambient color temperature atmosphere matching information, a bidirectional feedback mechanism is used to evaluate a matching degree of the ambient light and shadow and artistic immersion, a forward prediction of an evolution trend of the ambient light and shadow is performed, a backward correction of artistic atmosphere maintenance requirements is performed, dynamic light and shadow regulation requirements are determined, and an ambient light and shadow artistic feature set is obtained.

[0105] Optionally, the light and shadow scenario perception module 301, in the process of obtaining the user task intention feature set by analyzing the real-time interactive preference and performance rhythm demand of the user, is specifically used for: Based on the user gesture operation information, the smoothness of the user operation frequency and operation trajectory is analyzed, the smoothness is positively correlated with the interactive urgency of the user using the mobile phone, and user interactive urgency information is obtained; based on the user application context information, the application type and content dynamic change rhythm are analyzed, and user task rhythm demand information is constructed; based on the user interactive urgency information, in combination with the user task rhythm demand information, a multi-dimensional intention fusion mechanism is used to infer the current dominant intention of the user, the coordination between the interactive preference and the task rhythm is evaluated, the real-time interactive preference and performance rhythm demand are determined, and the user task intention feature set is constructed.

[0106] Optionally, the light and shadow scenario perception module 301, in the process of obtaining the light and shadow-user scenario information set by judging the current dominant scenario of the user using the mobile phone, is specifically used for: Based on the light and shadow atmosphere continuity information, in combination with the ambient color temperature atmosphere matching information, the visual perception influence degree of the ambient light and shadow on the user watching the mobile phone is analyzed, and ambient light and shadow influence information is obtained; based on the user interactive urgency information, in combination with the user task rhythm demand information, the demand intensity of the user task on the brightness of the backlight plate is analyzed, and backlight plate brightness demand intensity information is obtained; Based on the ambient light and shadow influence information, in combination with the backlight plate brightness demand intensity information, a multi-dimensional scenario judgment mechanism is used for fusion and deduction, a competition and cooperation relationship between the ambient light and shadow dominance and the user task dominance is evaluated, and the light and shadow-user scenario information set is obtained.

[0107] Optionally, the fusion strategy module 302, in the process of analyzing the dynamic tension relationship among the artistic immersion demand, the visual task efficiency and the visual health, is specifically used for: Based on the ambient light and shadow influence information, the influence of the visual atmosphere demand in the activity on the user watching the mobile phone is analyzed to obtain immersion demand intensity information; based on the backlight brightness demand intensity information, the occupation degree of clear reading demand on user attention is analyzed to obtain mobile phone clear use demand information; based on the ambient light and shadow influence information, combined with the backlight brightness demand intensity information, the potential load of the superposition of the two on visual health is analyzed to obtain visual health load warning information; based on the immersion demand intensity information, the mobile phone clear use demand information, combined with the visual health load warning information, a dynamic tension analysis mechanism is used for triple demand game deduction, the competitive relationship between activity immersion demand and mobile phone clear use is evaluated in real time, and the dynamic balance point is calibrated combined with the visual health load warning information, to obtain the dynamic tension relationship.

[0108] Optionally, the accommodation strategy module 302, in the triple demand game deduction, is specifically used for: The triple demand includes artistic immersion demand, visual task efficiency and visual health; when the immersion demand intensity information and the mobile phone clear use demand information conflict, the user watching mobile phone demand is prioritized, and the basic artistic immersion is maintained through the mutation of the mobile phone backlight panel; when the visual health load warning information reaches a threshold, the intensity of the activity immersion demand and the mobile phone clear use is simultaneously weakened, and the mobile phone backlight panel brightness is adaptively adjusted with visual health as the core.

[0109] Optionally, the accommodation strategy module 302, in the balance of the initiative light and shadow accommodation strategy and the balance of user transient discomfort and long-term eye movement load, obtains a situational backlight accommodation strategy set, and is specifically used for: Based on the visual health load warning information, the intensity level of transient discomfort caused by the dynamic adjustment of the backlight panel when the user uses the mobile phone is analyzed to obtain transient discomfort evaluation information; based on the immersion demand intensity information, combined with the mobile phone clear use demand information, the cumulative information of the eye movement load of the backlight panel when the mobile phone is used for a long time is analyzed to obtain long-term eye movement load information; based on the transient discomfort evaluation information, combined with the long-term eye movement load information, the applicability of the initiative light and shadow accommodation strategy is balanced by using a multi-objective optimization mechanism, the synergistic effect of transient discomfort relief and long-term eye movement load reduction is evaluated, the balance backlight regulation parameter is determined, and the situational backlight accommodation strategy set is obtained.

[0110] Optionally, the backlight execution module 303, in the flexible intervention of the mobile phone backlight matched with the artistic atmosphere and the user transient demand, is specifically used for: Based on the transient discomfort evaluation information, combined with the long-term eye movement load information, the effect of backlight adjustment on user transient discomfort relief and long-term eye movement load reduction is analyzed to obtain backlight health regulation parameters; based on the backlight health regulation parameters, combined with the ambient light artistic feature set and the user task intention feature set, the matching degree of backlight adjustment and artistic atmosphere and user transient demand is analyzed to obtain backlight artistic demand matching parameters; based on the backlight health regulation parameters, combined with the backlight artistic demand matching parameters, a multi-objective optimization mechanism is used to determine the backlight brightness adjustment value, and through the comprehensive balance of visual health, artistic atmosphere and user transient demand, progressive backlight regulation is performed.

[0111] The system of the embodiment can be used to execute the method of any of the above embodiments, and has similar implementation principles and technical effects, which will not be described here again.

Claims

1. An adaptive brightness adjustment method for a mobile phone backlight panel, characterized in that, include: Acquire a dynamic set of ambient light and shadow information and user behavior intention information. Based on the dynamic set of ambient light and shadow information and the user behavior intention information, analyze the cross-modal fusion and inference information of light and shadow art features and user task intention to obtain a light and shadow-user contextual information set. Based on the aforementioned light and shadow-user contextual information set, the dynamic tension between artistic immersion needs, visual task effectiveness, and visual health is analyzed, and the balance between active light and shadow integration strategies and users' instantaneous discomfort and long-term eye movement load is weighed to obtain a set of contextualized backlight integration strategies. Based on the aforementioned contextualized backlight integration strategy set, flexible interventions are performed on the mobile phone backlight to match the artistic atmosphere and the user's instantaneous needs.

2. The method according to claim 1, characterized in that, The analysis of cross-modal fusion and inference information between the characteristics of light and shadow art and the user's task intent yields a light and shadow-user contextual information set, including: The ambient light and shadow dynamic information set includes ambient light intensity information and ambient light color temperature information; The user behavior intent information includes user gesture operation information and user application context information; Based on the ambient light intensity information and the ambient light color temperature information, the dynamic light and shadow control requirements for maintaining the immersive atmosphere of the scene are analyzed, and an ambient light and shadow art feature set is obtained. Based on the gesture operation information and combined with the user application context information, the user's real-time interaction preferences and performance rhythm requirements are analyzed to obtain the user task intent feature set; Based on the environmental light and shadow art feature set and the user task intent feature set, the user's current mobile phone usage context is determined, and the light and shadow-user context information set is obtained.

3. The method according to claim 2, characterized in that, The analysis addresses the dynamic lighting and shadow control requirements needed to maintain an immersive atmosphere, resulting in a set of environmental lighting and shadow art features, including: Based on the ambient light intensity information, the abrupt change range and gradual change range of ambient light intensity are analyzed to obtain the continuity information of light and shadow atmosphere; Based on the ambient light color temperature information, the coordination relationship between ambient light color temperature and the artistic atmosphere of the site is analyzed to obtain ambient color temperature atmosphere matching information; Based on the information on the continuity of light and shadow atmosphere, combined with the information on the matching of ambient color temperature atmosphere, a two-way feedback mechanism is used to evaluate the matching degree between ambient light and shadow and artistic immersion. By forward prediction of the evolution trend of ambient light and shadow and backward correction of the artistic atmosphere maintenance requirements, the dynamic light and shadow control requirements are determined, and an ambient light and shadow artistic feature set is obtained.

4. The method according to claim 3, characterized in that, The analysis of users' real-time interaction preferences and performance rhythm requirements yields a user task intent feature set, including: Based on the user gesture operation information, the smoothness of the user operation frequency and operation trajectory is analyzed. The smoothness is positively correlated with the urgency of the user's interaction with the mobile phone, thus obtaining user interaction urgency information. Based on the user application context information, analyze the application type and the dynamic change rhythm of content to construct user task rhythm requirement information; Based on the user interaction urgency information and the user task rhythm requirement information, a multi-dimensional intent fusion mechanism is used to infer the user's current dominant intent. By evaluating the coordination between interaction preferences and task rhythm, the real-time interaction preferences and performance rhythm requirements are determined, and a user task intent feature set is constructed.

5. The method according to claim 4, characterized in that, The determination of the user's current dominant mobile phone usage context, resulting in the light and shadow-user context information set, includes: Based on the light and shadow atmosphere continuity information and combined with the ambient color temperature atmosphere matching information, the degree of influence of ambient light and shadow on the user's visual perception of viewing the mobile phone is analyzed to obtain ambient light and shadow influence information. Based on the user interaction urgency information and the user task rhythm requirement information, analyze the user task's demand intensity for mobile phone backlight brightness to obtain backlight brightness demand intensity information. Based on the ambient light and shadow influence information and the backlight brightness requirement intensity information, a multi-dimensional context discrimination mechanism is used for fusion and deduction. By evaluating the competition and synergy between the dominance of ambient light and shadow and the dominance of user tasks, the light and shadow-user context information set is obtained.

6. The method according to claim 5, characterized in that, The analysis of the dynamic tension between the need for artistic immersion, visual task effectiveness, and visual health includes: Based on the ambient light and shadow impact information, the influence of visual atmosphere requirements during the activity on users' mobile phone viewing is analyzed to obtain immersion requirement intensity information. Based on the backlight brightness requirement intensity information, the degree to which the need for clear reading occupies the user's attention is analyzed to obtain the mobile phone clear usage requirement information; Based on the ambient light and shadow influence information, combined with the backlight brightness requirement intensity information, the potential load on visual health caused by the combined effect of the two is analyzed to obtain visual health load warning information. Based on the immersion demand intensity information, the mobile phone clear usage demand information, and the visual health load warning information, a dynamic tension analysis mechanism is used to perform a triple demand game simulation. By evaluating the competitive relationship between activity immersion demand and mobile phone clear usage in real time, and combining the visual health load warning information to perform dynamic equilibrium point calibration, the dynamic tension relationship is obtained.

7. The method according to claim 6, characterized in that, The aforementioned triple demand game theory includes: The three requirements include the need for artistic immersion, visual task performance, and visual health. When there is a conflict between the immersion demand intensity information and the mobile phone clear usage demand information, priority is given to ensuring the user's need to view the mobile phone, while maintaining basic artistic immersion through abrupt changes in the mobile phone backlight. When the visual health load warning information reaches the threshold, the intensity of the need for immersive activities and clear mobile phone use is simultaneously weakened, and the brightness of the mobile phone backlight is adaptively adjusted with visual health as the core.

8. The method according to claim 7, characterized in that, The above-mentioned approach balances the active backlight blending strategy with the user's momentary discomfort and long-term eye strain, resulting in a set of contextualized backlight blending strategies, including: Based on the visual health load warning information, the intensity level of instantaneous discomfort caused by the dynamic adjustment of the backlight panel when the user uses the mobile phone is analyzed to obtain instantaneous discomfort assessment information. Based on the immersion demand intensity information and the mobile phone clear use demand information, the cumulative information of eye movement load on the backlight panel during long-term mobile phone use is analyzed to obtain long-term eye movement load information. Based on the transient discomfort assessment information and combined with the long-term eye movement load information, a multi-objective optimization mechanism is adopted to weigh the applicability of the active light and shadow fusion strategy. By evaluating the synergistic effect of transient discomfort relief and long-term eye movement load reduction, the balanced backlight control parameters are determined, and the contextualized backlight fusion strategy set is obtained.

9. The method according to claim 8, characterized in that, The aforementioned flexible intervention in adjusting the phone's backlight to match the artistic atmosphere and the user's immediate needs includes: Based on the transient discomfort assessment information and combined with the long-term eye movement load information, the effect of backlight adjustment on the relief of transient discomfort and the reduction of long-term eye movement load is analyzed to obtain backlight health regulation parameters. Based on the backlight health control parameters, combined with the ambient light and shadow art feature set and the user task intent feature set, the matching degree between backlight adjustment and artistic atmosphere and user instantaneous needs is analyzed to obtain backlight art demand matching parameters. Based on the backlight health control parameters and the backlight art demand matching parameters, a multi-objective optimization mechanism is used to determine the backlight brightness adjustment value. By balancing visual health, artistic atmosphere and the user's instantaneous needs, a gradual backlight adjustment is performed.

10. An adaptive brightness adjustment system for a mobile phone backlight panel, characterized in that, The method applied to any one of claims 1-9 includes: The light and shadow context perception module is used to acquire a set of dynamic information about ambient light and shadow and user behavior intention information. Based on the set of dynamic information about ambient light and shadow and the user behavior intention information, it analyzes the cross-modal fusion and inference information of light and shadow art features and user task intention to obtain a set of light and shadow-user context information. The integration strategy module is used to analyze the dynamic tension between artistic immersion needs, visual task efficiency and visual health based on the light and shadow-user context information set, and to weigh the balance between active light and shadow integration strategy and user's instantaneous discomfort and long-term eye movement load, so as to obtain a contextualized backlight integration strategy set. The backlight execution module is used to flexibly intervene in the backlight execution of the mobile phone to match the artistic atmosphere and the user's instantaneous needs based on the contextualized backlight integration strategy set.

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